A proven, low-risk path to move from fragmented BI to governed, conversational analytics, without disrupting dashboards, workflows, or user trust.
- KPI disruption is the #1 reason modernization stalls, we remove that risk
- Introduce Genie alongside existing dashboards, not as a replacement
- Move from report sprawl to governed decision-making at scale
Meet us at Databricks Summit for 20-30 mins
Bring your BI landscape, we’ll map your fastest path to Genie adoption without KPI drift.
What you’ll get at Booth #532
Why this conversation exists?
Most enterprises are stuck in a tension:
→ Leadership wants AI-driven decisions
→ Teams still depend on Power BI/Tableau dashboards
→ Any change that risks KPI consistency kills adoption
So, modernization stalls, not because of technology, but because trust breaks first.
A focused, executive-level working session
In 30 minutes, we’ll show you:
→ Where KPI drift risk will show up in your modernization plan
→ How to introduce Genie with governed semantic consistency
→ Modernize incrementally, without breaking workflows or retraining teams
This is for you if:
→ You’re evaluating Databricks Genie but don’t want disruption
→ You’re under Power BI/Tableau cost or vendor pressure
→ Your previous modernization failed due to adoption or trust issues
→ You want AI to move from pilot, production outcomes.
“Dashboards are interfaces. Decisions are assets”
EZConvertBI for Genie
A structured, low-risk path to Databricks-native analytics + conversational AI. Our approach helps teams introduce Genie incrementally, with governance and KPI consistency built in.
1. Analytics Assessment
Understand your BI landscape, dashboards, KPIs, usage, redundancies.
Know what to migrate, optimize, or retire, before touching anything.
2. Analytics Migration
Move incrementally via a governed semantic layer
- Dashboards stay live
- KPIs remain consistent
- No forced change for users
3. Analytics Diagnostics
Continuously validate:
- KPI consistency
- Usage patterns
- Semantic drift
Build trust for Genie and AI-driven decisions over time.
Stop modernizing reports. Start modernizing decisions
